code: def setUp(self):
      self.lam = 0.8
  
      self._state = {
          torchbearer.Y_TRUE: (
              torch.LongTensor([0, 1, 2, 2, 1]),
              torch.LongTensor([1, 2, 1, 0, 1]),
          ),
          torchbearer.Y_PRED: torch.FloatTensor(
              [
                  [0.9, 0.1, 0.1],  # Correct
                  [0.1, 0.9, 0.1],  # Correct
                  [0.1, 0.1, 0.9],  # Correct
                  [0.9, 0.1, 0.1],  # Incorrect
                  [0.9, 0.1, 0.1],  # Incorrect
              ]
          ),
          torchbearer.MIXUP_LAMBDA: self.lam,
      }
      self._targets = [0.8, 0.8, 0.8, 0.2, 0]
      self._true_targets = [1, 1, 1, 0, 0]
      self._metric = MixupAcc().root
  
file_path: torchbearer/tests/callbacks/test_mixup.py
imports: from unittest import TestCase
  from mock import patch, call, MagicMock
  import torch
  import torchbearer
  from torchbearer.callbacks import Mixup, MixupAcc
label_desc: Use image node_id 1 for calling the TestMixupAcc obj's underlying member method code with example usage: obj.setUp() without return types